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ADP is hiring a Senior Lead Data Scientist. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Experience with data visualization tools, such as Tableau, Power BI, Google's Looker Studio, D3. Lead the development and implementation of backend technical systems for the voter project, including significant work in Google BigQuery and various analytic platforms (e.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data s business value.
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As a Lead Data Engineer you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve many different products.
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As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of this client's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Transform data into useful information tailored to leadership needs through storyboarding and data visualization. Directly manage and oversee technical work in close partnership with the CTO and Engineering resources to steer data and analytics projects.
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Knowledge of data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
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Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python). Assess the adequacy of testing related to common IT Controls, including but not limited to access, change management, SoD, Incident Response, Data Security / Encryption, Network Security, Vulnerabilities / Patch Management, & IT Governance.
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5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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The Tech Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. We are looking for seasoned Technical Lead to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more.
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